Computationally effective spectral MUSIC algorithm for monostatic MIMO radar using real polynomial rooting

Abstract

A computationally effective real-valued variant of multiple signal classification (MUSIC) algorithm for monostatic multiple-input multiple-output (MIMO) radar is presented. Reduced-dimension transformation is utilized to reduce the dimension of the received data matrix at first, and then the unitary transformation is employed to transform the complex covariance matrix of the received data into a real-valued one. To further reduce the computational complexity, a real polynomial rooting technique is presented to determine the local maxima of the MUSIC spectrum that corresponding to the DOAs of the targets instead of the computationally-expensive spectrum search. Simulations results demonstrate that the presented algorithm can greatly reduce the computational complexity without sacrificing the estimation accuracy.